Set metrics

When adding AI tools to your design workflow, it's vital to measure their impact through key performance metrics such as:

• Processing speed: For instance, if you're relying on an AI tool to generate multiple color schemes for an upcoming client meeting in the near future, the tool's speed becomes a pivotal factor in meeting deadlines.
• Accuracy rate: Suppose you're utilizing AI for typography pairing in a branding project. Here, speed is secondary to how well the tool's output aligns with your design objectives. You don't want a fast but off-brand pairing that undermines the project's success.
• User satisfaction: Gathering feedback from your team or stakeholders to assess how intuitive and helpful the AI tool is within your workflow.
• Adoption rate: Monitoring how many team members are actively using the AI tool, which can indicate its usability and perceived value.
• Error rate: Tracking the frequency of mistakes or unusable outputs generated by the AI, helping you identify reliability issues
• Time saved: Measuring reductions in manual work or repetitive tasks, providing a clear picture of efficiency gains.